Software Citation

Software citation research aims to improve the accuracy, reliability, and discoverability of software used in scientific publications, addressing challenges in attribution and reproducibility. Current research focuses on developing and evaluating large language models (LLMs) and retrieval-augmented generation (RAG) methods for automatically generating and verifying citations, often incorporating techniques like factual consistency models and preference learning to enhance accuracy. This work is crucial for ensuring the transparency and reproducibility of scientific findings, improving the integrity of the research record, and facilitating better knowledge sharing across disciplines.